Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Machine learning for hydrothermal treatment of biomass: A review

W Zhang, Q Chen, J Chen, D Xu, H Zhan, H Peng… - Bioresource …, 2023 - Elsevier
Abstract Hydrothermal treatment (HTT)(ie, hydrothermal carbonization, liquefaction, and
gasification) is a promising technology for biomass valorization. However, diverse variables …

[HTML][HTML] Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings

HH Hosamo, HK Nielsen, D Kraniotis, PR Svennevig… - Energy and …, 2023 - Elsevier
Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability,
or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort …

[HTML][HTML] Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study

AA Murtaza, A Saher, MH Zafar, SKR Moosavi… - Results in …, 2024 - Elsevier
This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …

Machine learning models for inverse design of the electrochemical oxidation process for water purification

Y Sun, Z Zhao, H Tong, B Sun, Y Liu… - … Science & Technology, 2023 - ACS Publications
In this study, a machine learning (ML) framework is developed toward target-oriented
inverse design of the electrochemical oxidation (EO) process for water purification. The …

[HTML][HTML] A predictive maintenance model using long short-term memory neural networks and Bayesian inference

D Pagano - Decision Analytics Journal, 2023 - Elsevier
The fourth industrial revolution is a profound transformation utilizing emerging technologies
like smart automation, large-scale machine-to-machine communication, and the internet of …

[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview

O Dayo-Olupona, B Genc, T Celik, S Bada - Resources Policy, 2023 - Elsevier
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends

A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

[HTML][HTML] Predictive maintenance of district heating networks: A comprehensive review of methods and challenges

A Rafati, HR Shaker - Thermal Science and Engineering Progress, 2024 - Elsevier
District heating is one of the main strategies for providing heat supply for buildings in cold
climate countries. However, large parts of the current prefabricated pipes of these networks …

A review on the advancements and challenges of artificial intelligence based models for predictive maintenance of water injection pumps in the oil and gas industry

S Mohamed Almazrouei, F Dweiri, R Aydin… - SN Applied Sciences, 2023 - Springer
This paper provides a comprehensive review on the Artificial Intelligence (AI) based models
for predictive maintenance (PdM) of water injection pumps (WIPs) in the oil and gas industry …